How to manually split a Project into Subprojects

Note: If the dataset has image geolocation, divide a data set into subprojects using the Splitting into Subprojects option. For more information: 204700835.

If the dataset does not have image geolocation, it can be divided into subprojects manually:

One-flight Areal Project

Estimate the distance between the flight lines. It is recommended to divide the dataset in flight lines that have the smallest distance between them, so as to maximize the overlap between the subprojects.  


The yellow area is the area covered by the left subproject. The blue area is the area covered by the right sidebar.
The green area is the common area between the two subprojects. 

Tip: If there are more than 3 GCPs in the original project, it is recommended to split the project so that there are at least three GCPs in each subproject, if possible. 

Several-flight Aerial Project

Fly the different flights so that there is common area covered by as many flights as possible. Each flight can be one subproject. 

Important: When dealing with multiple flights, multiple image acquisition sessions or more generally when dealing with images that have the same name, save the images of each flight / image acquisition session in one folder. 

Terrestrial Project

Split the project into subprojects in such a way so that different subprojects share common images. This will ensure that there is overlap between the subprojects, which will facilitate merging.

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